__kalman_smooth__

functions for optimizing kalman smoothing approaches

pynumdiff.optimize.kalman_smooth.__kalman_smooth__.constant_acceleration(x, dt, params=None, options={'forwardbackward': True}, dxdt_truth=None, tvgamma=0.01, padding='auto', optimization_method='Nelder-Mead', optimization_options={'maxiter': 10}, metric='rmse')

Optimize the parameters for pynumdiff.kalman_smooth.constant_acceleration See pynumdiff.optimize.__optimize__ and pynumdiff.kalman_smooth.constant_acceleration for detailed documentation.

pynumdiff.optimize.kalman_smooth.__kalman_smooth__.constant_jerk(x, dt, params=None, options={'forwardbackward': True}, dxdt_truth=None, tvgamma=0.01, padding='auto', optimization_method='Nelder-Mead', optimization_options={'maxiter': 10}, metric='rmse')

Optimize the parameters for pynumdiff.kalman_smooth.constant_jerk See pynumdiff.optimize.__optimize__ and pynumdiff.kalman_smooth.constant_jerk for detailed documentation.

pynumdiff.optimize.kalman_smooth.__kalman_smooth__.constant_velocity(x, dt, params=None, options={'forwardbackward': True}, dxdt_truth=None, tvgamma=0.01, padding='auto', optimization_method='Nelder-Mead', optimization_options={'maxiter': 10}, metric='rmse')

Optimize the parameters for pynumdiff.kalman_smooth.constant_velocity See pynumdiff.optimize.__optimize__ and pynumdiff.kalman_smooth.constant_velocity for detailed documentation.